Search Results for "data structure" - Page 4
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Showing 989 open source projects for "data structure"
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TeXiFy-IDEA
LaTeX support for the IntelliJ platform by JetBrains
LaTeX support for the IntelliJ Platform by JetBrains. Create the most beautiful LaTeX documents with the user-friendliness of the IntelliJ platform. This plugin adds the tools to make creating LaTeX documents a breeze. We are currently doing our best to develop the plugin. -
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HCL
HCL is the HashiCorp configuration language
HCL is a toolkit for creating structured configuration languages that are both human- and machine-friendly, for use with command-line tools. Although intended to be generally useful, it is primarily targeted toward DevOps tools, servers, etc. HCL has both a native syntax, intended to be pleasant to read and write for humans, and a JSON-based variant that is easier for machines to generate and parse. It includes an expression syntax that allows basic inline computation and, with support from... -
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Laravel Package Tools
Tools for creating Laravel packages
This package contains a PackageServiceProvider that you can use in your packages to easily register config files, migrations, and more. This package is opinionated on how you should structure your package. To get started easily, consider using our package-skeleton repo to start your package. The skeleton is structured perfectly to work perfectly with the PackageServiceProvider in this package. -
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FL4Health
Library to facilitate federated learning research
FL4Health is a Vector Institute toolkit for building modular, clinically-focused FL pipelines. Tailored for healthcare, it supports privacy-preserving FL, heterogeneous data settings, integrated reporting, and clear API design. -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Documind
Open-source platform for extracting structured data from documents
Documind is an advanced document processing tool that leverages AI to extract structured data from PDFs. It is built to handle PDF conversions, extract relevant information, and format results as specified by customizable schemas. -
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Milvus
Vector database for scalable similarity search and AI applications
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion... -
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Tokenizer
A small library for converting tokenized PHP source code into XML
A small library for converting tokenized PHP source code into XML. You can add this library as a local, per-project dependency to your project using Composer. If you only need this library during development, for instance to run your project's test suite, then you should add it as a development-time dependency. -
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OpenCTI
Open Cyber Threat Intelligence Platform
OpenCTI is a comprehensive open-source cyber threat intelligence platform designed to help organizations collect, structure, analyze, and share information about cyber threats. It provides a modern web application backed by a GraphQL API and a data model aligned with the STIX2 standard to ensure interoperability across the threat intelligence ecosystem. The platform enables teams to correlate technical indicators such as observables and TTPs with higher-level context like attribution and victimology, creating a unified intelligence knowledge base. ... -
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kpt
Automate Kubernetes Configuration Editing
kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data. Any general-purpose or domain-specific language can be used to create functions to transform and/or validate the YAML KRM input/output format, but we provide SDKs to simplify the function authoring... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Cheerio
Implementation of core jQuery designed for the server
...Cheerio wraps around parse5 parser and can optionally use @FB55's forgiving htmlparser2. Cheerio can parse nearly any HTML or XML document. Cheerio parses markup and provides an API for traversing/manipulating the resulting data structure. It does not interpret the result as a web browser does. Specifically, it does not produce a visual rendering, apply CSS, load external resources, or execute JavaScript. If your use case requires any of this functionality, you should consider projects like Puppeteer or JSDom. -
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Avogadro 2
Avogadro libraries provide 3D rendering, visualization, and analysis
AvogadroLibs is the core C++ library behind Avogadro 2, an open-source molecular editor and visualization platform used in chemistry, materials science, and education. It provides the essential tools for constructing, analyzing, and visualizing molecular structures in 2D and 3D. Designed for extensibility, AvogadroLibs supports plugins for quantum chemistry computations, molecular mechanics, and surface rendering. It interfaces with multiple chemistry formats and data sources, making it a... -
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The Operator Splitting QP Solver
The Operator Splitting QP Solver
OSQP uses a specialized ADMM-based first-order method with custom sparse linear algebra routines that exploit structure in problem data. The algorithm is absolutely division-free after the setup and it requires no assumptions on problem data (the problem only needs to be convex). It just works. OSQP has an easy interface to generate customized embeddable C code with no memory manager required. OSQP supports many interfaces including C/C++, Fortran, Matlab, Python, R, Julia, Rust. -
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Absinthe
The GraphQL toolkit for Elixir
...If you're new to GraphQL, we suggest you read up a bit on GraphQL's foundational principles before you dive into Absinthe. Absinthe's functionality generally falls into two broad areas. Defines the structure of data entities and the relationships between, as well as the available queries, mutations, and subscriptions, using an elegant collection of declarative macros. Absinthe schemas are defined using easy-to-read macros that build and verify their structure at compile-time, preventing runtime errors and increasing performance. The entire query processing pipeline is configurable. ... -
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Large Concept Model
Language modeling in a sentence representation space
Large Concept Model is a research codebase centered on concept-centric representation learning at scale, aiming to capture shared structure across many categories and modalities. It organizes training around concepts (rather than just raw labels), encouraging models to understand attributes, relations, and compositional structure that transfer across tasks. The repository provides training loops, data tooling, and evaluation routines to learn and probe these concept embeddings, typically from large image–text or weakly supervised corpora. ... -
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AI Hedge Fund
An AI Hedge Fund Team
This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. ... -
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Integrant
Micro-framework for data-driven architecture
...Constructor functions are used to build records, which are then assembled into systems. In Integrant, systems are created from a configuration data structure, typically loaded from an edn resource. The architecture of the application is defined through data, rather than code. -
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Kotlin Dataframe
Structured data processing in Kotlin
Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data... -
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GitDiagram
AI tool that converts GitHub repositories into interactive diagrams
GitDiagram is an open source web application designed to help developers quickly understand the structure and architecture of GitHub repositories by automatically generating interactive diagrams. It analyzes repository metadata such as the file tree and project documentation to build a visual representation of how different components of a project relate to one another. It uses an AI-powered pipeline to interpret repository structure and transform that information into system design diagrams rendered with Mermaid visualization. ... -
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Flow-Like
Strongly Typed Enterprise Scale Workflows
Flow-Like is a lightweight framework for building flow-based, reactive user interfaces that lets developers structure applications around declarative data flows and event pipelines instead of imperative state management. The core idea is that UI components react to changes in upstream flows, making it easier to reason about how data moves through the system and how user interactions propagate changes throughout the interface. This approach contrasts with traditional two-way binding or manual update patterns by treating flows as the single source of truth, simplifying complex interactions and reducing bugs caused by scattered state logic. ... -
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Jbuilder
Generate JSON objects with a Builder-style DSL
Jbuilder gives you a simple DSL for declaring JSON structures that beats manipulating giant hash structures. This is particularly helpful when the generation process is fraught with conditionals and loops. You can either use Jbuilder stand-alone or directly as an ActionView template language. When required in Rails, you can create views à la show.json.jbuilder (the json is already yielded). Fragment caching is supported, it uses Rails.cache and works like caching in HTML templates. If your... -
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AutoViz
Automatically Visualize any dataset, any size
AutoViz is a Python data visualization library designed to automate exploratory data analysis by generating multiple visualizations with minimal code. The primary goal of the project is to help data scientists and analysts quickly understand patterns, relationships, and anomalies within datasets without manually writing complex plotting code. With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the data. -
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refinery
Open-source choice to scale, assess and maintain natural language data
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact. You are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate your labeling, find low-quality subsets in your training data, and monitor your data in one place. refinery doesn't get rid of manual labeling, but it makes sure that your valuable time is spent well. Also, the makers... -
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gain
Asyncio-based Python framework for building fast web crawling spiders
Gain is a Python web crawling framework designed to simplify the process of building efficient and scalable web scrapers. It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. Developers define crawlers using components such as spiders, parsers, and... -
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EAGO.jl
A development environment for robust and global optimization
EAGO is an open-source development environment for robust and global optimization in Julia. EAGO is a deterministic global optimizer designed to address a wide variety of optimization problems, emphasizing nonlinear programs (NLPs), by propagating McCormick relaxations along the factorable structure of each expression in the NLP. Most operators supported by modern automatic differentiation (AD) packages (e.g., +, sin, cosh) are supported by EAGO and a number of utilities for sanitizing... -
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ZJsonPatch
This is an implementation of RFC 6902 JSON Patch written in Java
This is an implementation of RFC 6902 JSON Patch written in Java. It can be used to avoid sending a whole document when only a part has changed, thus reducing network bandwidth requirements if data (in JSON format) is required to send across multiple systems over network or in case of multi DC transfer.
